News & Views
Appointments to Speed Cancer Model Platform Growth
Oct 23 2018
Cambridge (UK) tech start-up Repositive, which has established a secure platform for sharing of data has announced three senior appointments to propel the company into its next phase of growth.
Ave Wrigley, Chief Technology Officer, who brings over 20 years experience of running technology departments across various disciplines including ecommerce and digital marketing said : “Repositive’s idea to solve a real and important problem – enabling medical researchers to deal with the tidal wave of genomic data – is fantastic. I have worked in several scale up organisations going through similar growth to Repositive, but what is different here is the team itself. The people are driven by a passion for what they are doing and have strong values. The work is not without challenge, but there is such a ‘can do’ attitude which means that, with the right leadership, none of these challenges are insurmountable.”
New Chief Business Officer Robert Thong brings nearly 30 years experience in leadership and commercial roles in B2B enterprises in the life sciences sector. “Creating a marketplace for all of these stakeholders at Repositive will be a great new challenge that brings together all of my previous experience. I am incredibly excited to help establish Repositive’s Cancer Models community and marketplace, while building a dedicated international commercial team along the way.”
Julian Coe, Repositive’s Chief Financial Officer and Chief Operating Officer, is determined to raise the funding the company needs to scale its operations to progress its growth plan: “ Precision medicine is the future, but its development requires biomedical researchers to have immediate access to a much greater volume of more pertinent genomic data. Repositive is making waves in the research world by providing this advanced search capability. We now have an incredibly strong team and we are confident that, in the next six months we will be the world’s single largest source of translational cancer models for researchers.”
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